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Modellazione 3D da dati aerei e terrestri a Hierapolis

Authors: G. Sammartano; F. Chiabrando; A. Spano';

Modellazione 3D da dati aerei e terrestri a Hierapolis

Abstract

La città di Hierapolis è sempre stata per il gruppo di Geomatica un terreno di sperimentazione, sia per quanto riguarda i metodi di acquisizione, sia per quelli di elaborazione e gestione degli archivi di dati, che consentono di costruire una documentazione geometrica e radiometrica facilmente aggiornabile. Già nella decade successiva al 2000 sono stati impiegati la fotogrammetria digitale e i primi metodi di elaborazione automatica di modelli continui di superficie per l’estrazione di ortofoto1 e, inoltre, le sperimentazioni sull’uso del punto di vista aereo non sono mancate2; tuttavia, è nel triennio 2012-2015 che l’avanzamento tecnologico della strumentazione e degli algoritmi di elaborazione ha consentito l’affermarsi dei metodi automatici range-based e image-based, che permettono la generazione rapida di modelli di punti densi, rispettivamente da scansioni laser (LiDAR – Light Detection and Ranging) e da fotogrammi, cioè immagini che rappresentano gli oggetti d’interesse secondo una geometria di ripresa stereoscopica, opportuna per le elaborazioni di tipo fotogrammetrico. In questo contributo saranno presentati i progetti e i risultati di modellazioni da scansioni laser e delle applicazioni fotogrammetriche da drone realizzati nel 2015.

Country
Italy
Related Organizations
Keywords

UAV; digital photogrammetry; DSM; Terrestrial laser scanning; archaeology mapping; data integration

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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